Title
Compressive CFAR radar detection
Author
Anitori, L.
Otten, M.P.G.
van Rossum, W.L.
Maleki, A.
Baraniuk, R.
Publication year
2012
Abstract
In this paper we develop the first Compressive Sensing (CS) adaptive radar detector. We propose three novel architectures and demonstrate how a classical Constant False Alarm Rate (CFAR) detector can be combined with ℓ1-norm minimization. Using asymptotic arguments and the Complex Approximate Message Passing (CAMP) algorithm we characterize the statistics of the ℓ1-norm reconstruction error and derive closed form expressions for both the detection and false alarm probabilities. We support our theoretical findings with a range of experiments that show that our theoretical conclusions hold even in non-asymptotic setting. We also report on the results from a radar measurement campaign, where we designed ad hoc transmitted waveforms to obtain a set of CS frequency measurements. We compare the performance of our new detection schemes using Receiver Operating Characteristic (ROC) curves. © 2012 IEEE.
Subject
Physics & Electronics
RT - Radar Technology
TS - Technical Sciences
Defence Research
Radar
Defence, Safety and Security
Adaptive radar detectors
Compressive sensing
Constant false alarm rate detectors
Detection scheme
False alarm probability
Frequency measurements
Radar detection
Wave forms
Detectors
Error statistics
Radar measurement
Tracking radar
To reference this document use:
http://resolver.tudelft.nl/uuid:5a766167-845c-428b-bdad-840df4e282ab
DOI
https://doi.org/10.1109/radar.2012.6212158
TNO identifier
462877
Source
2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012, 7-11 May 2012, Atlanta, GA, USA, 0320-0325
Document type
conference paper